Yale Economist's Model Predicts Democrats Headed for Midterm Election Defeat (house of representatives, votes)

[RowingFiend]

Since 1978 Ray Fair, ​​professor of Economics at Yale University, has been using economic data to predict US election outcomes. His bare-boned, strictly by the numbers approach has a fairly impressive record, usually coming within 3% of the final tally.

Sadly for Democrats – if Fair’s on track again this time – the Biden administration will struggle to keep control of Congress in November’s crucial midterm elections.

Using data going back to 1916 Fair’s latest analysis suggests that Democrats will get 46.7% of the national vote in November – down from the 51.3% in 2020 when Biden defeated Donald Trump and took control of the House and a slim majority in the Senate.

Link: https://www.theguardian.com/us-news/...biden-ray-fair

Interesting, isn't it? If you pay attention to the DNC and their liars in the MSM, you'd think that the Democrats were a lock to keep the Senate and had a strong chance of maintaining control of the House of Representatives.

[FordBronco1967]

Originally Posted by RowingFiend

Link: https://www.theguardian.com/us-news/...biden-ray-fair

Interesting, isn't it? If you pay attention to the DNC and their liars in the MSM, you'd think that the Democrats were a lock to keep the Senate and had a strong chance of maintaining control of the House of Representatives.

This article really is not insightful, as it does not provide any specifics. But, I could not get past the obvious bias from an article published in the "news" section...

Originally Posted by The Guardian

Sadly for Democrats – if Fair’s on track again this time – the Biden administration will struggle to keep control of Congress in November’s crucial midterm elections.

[Mr.Retired]

Why are sources contending that any Democratic State that has had delays in election results have won over 70% of the time after tallying the late votes.

Why not Preserve and uphold the Constitution by creating Voter I.D.

Trust no one. Question everything.